Data Reply is the Reply group company specialized in Big Data, Data Science and Artificial Intelligence. Our experience covers 4 main business areas: Sales and Marketing Intelligence, Big Data Engineering & Security Intelligence, Enterprise Intelligence, IoT & Industry4.0 Intelligence. We count more than 40 projects in production involving Datalakes, both on-premise and in Cloud, and ML & AI algorithm development. The algorithms are boosted by the Quantum Computing innovative approaches and we also offer Data Science and Deep Learning Education programs.
Analyse product data feeds to optimize product performance (both in terms of sales and replenishment) during the whole life-cycle. #ProductRecommender, #SalesForecasting, #PricingOptimization, #StockOptimization
Analyse customer behaviour to have useful insights that can both drive key business decision and predict customer preferences to adopt a one-to one approach. #Churn Prediction, #CustomerLifetimeValue, #CustomerSegmentation, #ContentPersonalization
Identify real time anomalies that lead to potential threats or frauds through geo data and video analysis.Automatically identify anomalous usage of machines to reduce costs via log analysis and test automation.#LoginAlerting, #FraudDetection, #VideoSecurity, #MachineAutomation
Improve internal process efficiency by analyzing unstructured data, using OCR and Deep Learning algorithms for images, NLP techniques for text.Automate part of these processes to optimize internal resources#ProductRecommender, #SalesForecasting, #PricingOptimization, #StockOptimization
Collect and analyse huge amount of data to produce insights that can increase the quality, the safety and the efficiency of connected-products.#PredictiveMaintenance, #AnomaliesDetection, #ProactiveMonitoring #PathOptimization
Enhance the production line by means of predictive and analytics and machine learning algorithms, to identify potential failure points, monitor the products quality and optimise the composition and the selection of the workforce.#RootCauseAnalysis, #ImageAnalysis, #PerformanceAnalysis
Our education programs enable the skills necessary to analyse data. We provide custom workshops and training in Data Science and Deep Learning for our clients. Our trainers are certified to train in Data Incubator format.
#TDI, #Training, #DataScience, #DeepLearning
The adoption of a Cloud solution enables a scalable Big Data platform to collect and centralize all the data, build and train machine learning algorithm on top of them, and develop application to make use of them.#LiftAndShift, #CloudComputing, #BigDataLakes
Data Governance enables control & compliance to the data used in an enterprise. In particular, it manages availability, usability, integrity and security of data.#DataMasking #DataAnonimization #DataQuality #DataCatalogs #DataDiscovery #AbInitio
The use of hardware with massive parallelization capabilities as Graphics Processing Units (GPUs) and Tensor Processing units (TPUs) enables an engine with high computational performances. It also facilitates process-intensive operations such as deep learning as well as boosts machine learning algorithms by using “quantum inspired approaches” such as the QUBO formulation.#QuantumComputing, #GPU, #TPU
Sense Reply e
Storm Reply will partecipate at the
AWS Summit in Milan, event focused on cloud Amazon Web Service.
The event is organised by D-Wave. Reply will co-host the event.
Data Reply, specialising in Big Data, Machine Learning and AI, will be at the
D-Wave Europe “Qubits” User Conference, from 25 to 27 March 2019. The aim of the conference is to share knowledge regarding the applications developed and used by D-Wave users in Europe.